Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence
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[2606.00235] Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Physics > Physics and Society arXiv:2606.00235 (physics) [Submitted on 29 May 2026] Title: Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence Authors: David Orban View a PDF of the paper titled Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence, by David Orban View PDF HTML (experimental) Abstract: We argue that governance must transition from a normative discipline to an engineering discipline, and we develop a formal framework, inspired by the physics of metamaterials, to make this transition quantitative and testable. Artificial General Intelligence affects civilization primarily by increasing decision velocity while human verification capacity remains bounded. When the cost of validating AI-generated outputs exceeds the expected utility of acting on them, rational agents default to inaction: a stable but catastrophic Nash equilibrium we term the Freezing Equilibrium. Drawing on metamaterials, where emergent macro-properties arise from designed microstructure, we develop a phenomenological constitutive law for institutional coordination: $R_{\mathrm{eff}} = \beta \cdot (1-\rho) \cdot (1-\tau) \cdot (1-\gamma \rho \tau)$, where $\beta$ is the decision branching factor, $\rho$ is provenance fidelity, $\tau$ is the verification rate, and $\gamma \in [0,1]$ captures correlated-detection synergy between provenance and verification failures. The model predicts a sharp phase transition between self-healing ($R_{\mathrm{eff}} < 1$) and self-destabilizing ($R_{\mathrm{eff}} > 1$) regimes. We introduce a three-class provenance taxonomy: cryptographic, institutional, and context binding, and derive four falsifiable hypotheses with a proposed 12-week stepped-wedge cluster-randomized trial in government grant review panels. The framework bridges AI alignment theory and institutional design. Comments: 19 pages, 4 figures. Accepted for presentation at AGI-26 (Springer LNAI, forthcoming). v2 corrects the sign of the synergy term in the constitutive law (Eq. 2) and reformulates H3 as a threshold-crossing claim, per peer review Subjects: Physics and Society (physics.soc-ph) ; Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Multiagent Systems (cs.MA) MSC classes: 91B69, 60J80, 91B06, 93A30 ACM classes: I.2.11; K.4.1; I.2.1; J.4 Cite as: arXiv:2606.00235 [physics.soc-ph] (or arXiv:2606.00235v1 [physics.soc-ph] for this version) https://doi.org/10.48550/arXiv.2606.00235 Focus to learn more arXiv-issued DOI via DataCite Journal reference: Artificial General Intelligence. AGI 2026. Lecture Notes in Computer Science, vol 16855, pp. 118-136. Springer, Cham (2026) Related DOI : https://doi.org/10.1007/978-3-032-33195-3_10 Focus to learn more DOI(s) linking to related resources Submission history From: David Orban [ view email ] [v1] Fri, 29 May 2026 18:10:00 UTC (560 KB) Full-text links: Access Paper: View a PDF of the paper titled Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence, by David Orban View PDF HTML (experimental) TeX Source view license Current browse context: physics.soc-ph < prev | next > new | recent | 2026-06 Change to browse by: cs cs.AI cs.CY cs.MA physics References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... 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